Mosbach, Marius

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

Mosbach, M., Andriushchenko, M., & Klakow, D. (2020) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 220

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Mosbach, M., Pimentel, T., Ravfogel, S., Klakow, D., & Elazar, Y. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 81

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

Alabi, J. O., Adelani, D. I., Mosbach, M., & Klakow, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 53

Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures

Steuer, J., Mosbach, M., & Klakow, D. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Neurobiology of Language and BilingualismNatural Language Processing Techniques

Cited by 14

DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning

Marjanović, S. V., Patel, A., Adlakha, V., Aghajohari, M., BehnamGhader, P., Bhatia, M., Khandelwal, A., Kraft, A., Krojer, B., Lù, X. H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0